Learning Language in Logic

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James Cussens, Saso Dzeroski
Springer, 2003. gada 31. jūl. - 306 lappuses
This volume has its origins in the ?rst Learning Language in Logic (LLL) wo- shop which took place on 30 June 1999 in Bled, Slovenia immediately after the Ninth International Workshop on Inductive Logic Programming (ILP’99) and the Sixteenth International Conference on Machine Learning (ICML’99). LLL is a research area lying at the intersection of computational linguistics, machine learning, and computational logic. As such it is of interest to all those working in these three ?elds. I am pleased to say that the workshop attracted subm- sions from both the natural language processing (NLP) community and the ILP community, re?ecting the essentially multi-disciplinary nature of LLL. Eric Brill and Ray Mooney were invited speakers at the workshop and their contributions to this volume re?ect the topics of their stimulating invited talks. After the workshop authors were given the opportunity to improve their papers, the results of which are contained here. However, this volume also includes a substantial amount of two sorts of additional material. Firstly, since our central aim is to introduce LLL work to the widest possible audience, two introductory chapters have been written. Dzeroski, ? Cussens and Manandhar provide an - troduction to ILP and LLL and Thompson provides an introduction to NLP.

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Keynote and Invited Papers
1
Grid Resource Management
18
An Open MarketBased Framework for Distributed Computing over
34
MeSch An Approach to Resource Management in a Distributed Environment
47
Architecture for a Grid Operating System
65
Grid Middleware and Problem Solving Environments
91
A WebBased Metacomputing ProblemSolving Environment for Complex
111
Web Enabled ClientServer Model for Development Environment of Distributed
135
Grid TestBeds and Resource Discovery
158
A ParameterBased Approach to Resource Discovery
181
Experiments with Migration of MessagePassing Tasks
203
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